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Maximum-likelihood detection in few-mode fiber transmission with mode-dependent loss, , , , , , , и . Photonics Technology Letters, IEEE, 25 (12): 1095--1098 (2013)Enhanced performance for MDL-impaired few-mode fiber transmission, , , , , , и . Optoelectronics and Communications Conference (OECC), стр. 234–236. (2014)On the mode-dependent loss compensation for mode-division multiplexed systems, , , , , , , , и . Transparent Optical Networks (ICTON), 2013 15th International Conference on, стр. 1--4. IEEE, (2013)Mode scramblers and reduced-search maximum-likelihood detection for mode-dependent-loss-impaired transmission, , , , , и . 39th European Conference and Exhibition on Optical Communication (ECOC 2013), (2013)Synthetic dataset to study breaks in the consumer's water consumption patterns., , , и . ICoMS, стр. 59-65. ACM, (2021)Impact of Variable Transformations on Multiple Regression Models for Enhancing Gait Normalization., , , , , и . ICoMS, стр. 103-107. ACM, (2023)A Deep Learning Approach for Intelligent Cockpits: Learning Drivers Routines., , , , и . IDEAL (2), том 12490 из Lecture Notes in Computer Science, стр. 173-183. Springer, (2020)Neural Field Model for Measuring and Reproducing Time Intervals., , , и . ICANN (1), том 11727 из Lecture Notes in Computer Science, стр. 327-338. Springer, (2019)Prediction of attitudes towards human-centred cognitive vehicles aware of their users' routines and preferences., , , , , и . RTSI, стр. 194-199. IEEE, (2021)A Data Recording Mobile Application to Create Datasets of Vehicle Users' Routines., , , , , и . ICARSC, стр. 167-172. IEEE, (2022)